Pedestrian interaction with automated vehicles at uncontrolled intersections |
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| Affiliation: | 1. California PATH, University of California, Berkeley, CA 94804, USA;2. Industrial and System Engineering, University of Florida, Gainesville, FL 32603, USA;3. School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, China;4. School of Mechanical and Electronic Engineering, Wuhan University of Technology, Wuhan 430074, China;1. Department of Psychology, Palacky University in Olomouc, Krizkovskeho 8, Olomouc 771 80, Czech Republic;2. Factum OHG, Danhausergasse 6/4, A-1040 Vienna, Austria,;1. Department of Environmental Engineering and Architecture, Graduate School of Environmental Studies, Nagoya University, Nagoya 464-8603, Japan;2. Qatar Transportation and Traffic Safety Center, College of Engineering, Qatar University, P.O.Box 2713, Doha, Qatar;3. Department of Civil & Architectural Engineering, College of Engineering, Qatar University, P.O.Box 2713, Doha, Qatar;1. Department of Transport and Planning, Delft University of Technology, Stevinweg 1, 2628 CN Delft, The Netherlands;2. SWOV Institute for Road Safety Research, Bezuidenhoutseweg 62, 2594 AW Den Haag, The Netherlands;3. Department BioMechanical Engineering, Delft University of Technology, Mekelweg 2, 2628 CD Delft, The Netherlands;1. Department of Industrial & Systems Engineering, Mississippi State University, PO Box 9542, MS 39762, USA;2. Center for Advanced Vehicular Systems, Mississippi State University, PO Box 5405, MS 39762, USA |
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| Abstract: | Automated Vehicles (AVs) are being developed rapidly and tested on public roads, but pedestrians’ interaction with AV is not comprehensively understood or thoroughly investigated to ensure safe operations and the public’s trust of AVs. In this study, we aimed to provide another research evidence to enhance such understanding with the use of external interfaces for facilitating the interaction between pedestrians and AVs. We developed five external interfaces, including text, symbol, animated-eye, a combination of text and symbol, and speed. These interfaces communicated five types of information, including (1) intent of AV; 2) advice to pedestrians of what to do, (3) AV’s awareness of pedestrians, (4) combination of intent and advice, and (5) vehicle movement (i.e., speed). We tested the interfaces through two field studies at uncontrolled intersections with crosswalks. The Wizard of Oz method was used, in which an experimenter worked as a driver in an instrumented vehicle and wore an outfit to be invisible to the pedestrians, thus rendering the set-up to simulate an AV interacting with a pedestrian. The interfaces were displayed on an LED panel mounted on the AV. Results showed that the AV’s external interface did not change pedestrians’ response time in comparison with the baseline without any interface. There was no statistically significant difference in response time among the external interfaces either. According to the post-experimental interview, vehicle movement pattern (e.g., vehicle speed) continued to be a significant cue for pedestrians to decide when to cross the intersections. Participants perceived the communication of the AV’s intent and vehicle speed as more beneficial than the communication of AV’s awareness. The subjective ratings showed positive effects of those interfaces that were easy to understand (e.g., text interface and speed interface), which also helped pedestrians feel safer when interacting with the AV. |
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| Keywords: | Pedestrian safety Automated vehicles External interfaces |
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